Data silos are costing you time and money. Discover how Google Workspace, combined with Google Agentspace, can serve as your central hub for work with a single, searchable source of truth for business data. We’ll demonstrate how to eliminate data silos and speed up AI adoption while integrating relevant information into employees’ daily Workspace experience. This session is ideal for IT leaders and developers seeking to maximize the value of their data.

Scaling Agents with Agentspace isn’t just about building cool agents, it’s about how you integrate those into your business and how you set up the operational governance, the monitoring and the overall lifecycle management that creates a trusted digital workforce. Google Cloud becomes the Digital Office Space for your Agentic employees, and you’ll need an AI RM to manage them.

This Session is hosted by a Google Cloud Next Sponsor.
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Google brings together the scalability, reliability and ease-of-use of Firestore with MongoDB compatibility. The session will showcase Firestore with MongoDB compatibility and its capabilities. In addition, Mayo Clinic will present their use of Firestore for multiple workloads including using Firestore’s GenAI capabilities for delivering personalized experiences in their applications. 

Automation enables engineering teams to reduce duplication of effort and build consistency around various processes, especially observability. Providing out-of-the-box solutions and using infrastructure as code are some of the ways to automate your systems so all of your teams can onboard and get all the right features. In this talk, we will discuss how Datadog and Project44 have created self-service platforms so their engineers can automatically obtain observability into their systems.

This Session is hosted by a Google Cloud Next Sponsor.
Visit your registration profile at g.co/cloudnext to opt out of sharing your contact information with the sponsor hosting this session.

Facing the challenges of scaling multimodal search for massive datasets? This session shows how leading retailers scaled their search infrastructure using Vertex AI Vector Search. Discover how the power of multimodal hybrid search of Vector Search 2.0 dramatically improves your search experience.

Connect with other security professionals in our Birds of a Feather sessions. Dive into lively discussions with peers and Google Cloud experts on key security topics, including identity and access management, network security, multicloud monitoring, and more.

Transitioning from their existing threat intelligence providers to Google Threat Intelligence is a priority for many organizations, especially those leveraging VirusTotal and Mandiant offerings. Join Jonas Kelley, Google Security Sales Leader, as he moderates a conversation with Tarah Lewis, Google Security Architect, and Chris Morales, Netenrich CISO. Discover how to assess your readiness, overcome common migration challenges, and transition quickly and seamlessly to enhance your security posture with Google’s comprehensive threat intelligence.

Experience the future of AI with Google Cloud! Speak with Agentspace experts to learn how it can provide conversational assistance and take actions based on your company’s unique information. See topic details for each time block here.

Experience the future of AI with Google Cloud! Speak with customers who are building innovative AI solutions and learn directly from them. This experience offers a real-world look into "how we built it" discussions, giving you the chance to explore the possibilities. See detailed schedule of each timeblock here.

Revolutionize your business with Intel and Google Cloud. Discover the power of Intel Xeon-based instances and Intel’s software optimizations for unparalleled efficiency and performance. Lower your total cost of ownership with Intel Trust Domain Extensions (TDX) for secure computing.​ Unlock the potential of AI with Intel Advanced Matrix Extensions (AMX) and optimize your software stack. Transform your infrastructure, engage with industry leaders, and gain insights to stay ahead in a rapidly evolving market.​

This Session is hosted by a Google Cloud Next Sponsor.
Visit your registration profile at g.co/cloudnext to opt out of sharing your contact information with the sponsor hosting this session.

Unlock the full potential of your data with Google's autonomous data and AI platform. This session explores how we're bringing the power of AI directly to your data, integrating multimodal data handling, an innovative AI Query Engine, and Gemini agents to enable seamless data integration, automated workflows, complex reasoning, and real-time insights. Join us to explore the latest advancements in BigQuery and Looker and build a data and AI strategy that drives your business forward.

Feeling overwhelmed by constant tech updates? Join Maura McEnroe and Jenn Zmuda of UnitedHealth Group to navigate the ever-changing tech landscape. Learn practical strategies for successful change management, focusing on the human side, to empower your team and drive better outcomes.

Want to build large language models (LLMs) that are truly knowledgeable and reliable? This session explores real-world use cases of grounding with diverse data sources, such as data from Google Search, Google Maps, or even your own enterprise data. Discover how Vertex AI helps you build trust in your AI outputs.

What if gameplay evolved with each player? GenAI + Gemma makes it real! This open model creates dynamic experiences through fine-tuning & flexible deployment (local/Cloud Run GPU). See natural conversations & adapted gameplay via live demos, possibly live coding. Discover practical implementation & architecture insights. Let's skip the slides and jump to the fun.

Learn how Lloyds Banking Group dramatically optimized their costs across Google Cloud using FinOps hub. Discover new features in FinOps hub 2.0 that are supercharged by Gemini Cloud Assist. And learn how you, too, can increase your Google Cloud FinOps score.

IAM and cloud resource posture are at the core of your security infrastructure and fundamental to cloud adoption. Google Cloud's IAM and Org Policy are evolving, enabling frictionless experiences for admins, developers and security practitioners. Our innovative platform helps you implement robust and comprehensive security controls across the enterprise with AI-enabled features for agility in your operations. Join this demo-packed session to learn about the latest innovations in IAM, access risk, cloud governance, and Gemini-powered assistance.

Connect with a diverse group of Cloud professionals, students, and tech innovators. This meetup is focused on empowering women in cloud technology, but all are welcome to join. It's a space for building relationships, sharing experiences, and expanding your professional network.

Take part in the new SOC Experience – a view into real-world attack scenarios. Learn about the latest hacker tactics and how Google equips cybersecurity teams with the data, AI, and scalable analytics to detect and remediate attacks.

Cut down approval time and maximize returns on the Deal Acceleration Fund (DAF) and Partner Services Fund (PSF) programs. Learn how to effectively define deliverables and build a compliant SOW for accelerated approval. We'll also break down the optimal pricing strucutres and walk through the approval processes for these programs to accelerate cloud adoption.

Join this Solutions Talk to see Virgin Media O2's self-service data mesh on Google Cloud, built on data tooling and data platform engineering. We'll show their real-world architecture for discoverable, trusted data products, emphasizing data quality, contracts, and management. Hear VMO2's data mesh vision, why contracts and quality matter, and how Google Cloud enables automation, leaving you with actionable insights to unlock your data's potential.

This sessions demonstrates how to automate password and certificate rotation in Google Cloud, mitigating security risks associated with long-lived credentials and helping you achieve password rotation best practices by eliminating manual interventions.

Learn how to fast train your LLMs by maximizing utilization of TPUs. In this talk, we are going to start with training a GPT2 model with JAX from scratch on Colab and Kaggle TPUs for free. To scale it up, we will transition to the latest TPUs and the cutting edge MaxText library to train the state-of-the-art LLMs.

Grupo Pavisa plans to revolutionize its business model by basing decisions on a single source of truth using RISE with SAP on the Google Cloud Platform. Learn how this transformation will reduce delivery times, improve production capabilities and enable the creation of better forecasting models. Join Luis Gabriel Martínez from Grupo Pavisa and Clay Caldwell from Kyndryl for a discussion of how a pragmatic approach to modernization and co-creation with Kyndryl, SAP and Google is enabling success.

This Session is hosted by a Google Cloud Next Sponsor.
Visit your registration profile at g.co/cloudnext to opt out of sharing your contact information with the sponsor hosting this session.

This session presents Schnucks’, a midwest grocer’s migration of their E-commerce application from Oracle Database to Cloud SQL PostgreSQL. It will cover challenges such as addressing the complexities of even "simple" schemas, testing data movement possibilities to minimize downtime, and transforming the database tier. Hear about the business impact, including cost savings, increased database-application proximity and the potential for similar future migrations, allowing for direct integration options from Google CloudSQL to Google Gemini AI.

This Session is hosted by a Google Cloud Next Sponsor.
Visit your registration profile at g.co/cloudnext to opt out of sharing your contact information with the sponsor hosting this session.

Direct Preference Optimization (DPO) is a cutting-edge approach for fine-tuning large language models to align with human preferences. DPO eliminates complexities of Reinforcement Learning (RL), like reward modeling, by directly training models to prioritize user-selected over rejected outputs, simplifying alignment while maintaining performance. This talk covers DPO's principles, implementation, and significance in refining AI for practical applications. It highlights DPO's streamlined efficiency in optimizing model outputs, unpacking steps for preference-based adjustments, and contrasting DPO with traditional RL, showing its advantages in reducing overhead and enhancing scalability.